8,482 karma · joined May 25, 2019
> The consumption of AI-generated music on the platform is still very low, at 1-3% of total streams, and 85% of these streams are detected as fraudulent and demonetized by the company.
Even pre-AI, music has always been a winners-take-most business. Per an article from 2022, the vast majority of artists have fewer than 50 monthly listeners[0], which I suspect is far lower now due to the flood of AI.
Not sure about Deezer, but for Spotify there is some kind of minimum to get you into any algorithmic rotation. People try to game this with bots, i.e. botted streams, but the problem with bots is that the accounts are bots, so the recommendations just become music for other bots, hence the part where 85% of the streams are botted. So it doesn't actually work, and you have to rely on old-fashioned promotion to get into any algorithmic playlists.
So 44% of uploads being AI-generated sounds bad, but it's extremely unlikely anyone will ever encounter them naturally, the same way that people don't naturally discover random, non-AI artists with 10 monthly listeners and tracks with less than 1000 plays. This isn't a defense of AI music slop, by the way; it's more pointing out that the "making a song" part only takes you about 20% of the way to becoming an artist people want to listen to. A harsh lesson our friends in /r/SunoAI are learning.
[0] https://www.musicbusinessworldwide.com/over-75-of-artists-on...
If I'm building out an internal tool for, say, a hospital lawyer to search through malpractice lawsuits, I want my tool to be the most familiar, obvious, least-surprising UI/UX possible. Just stay out of the way and do what it's supposed to do.
The trick is, of course, that the human is still responsible for knowing when homogenous is fine, or when there's real value in the presentation. If you're making a website for, say, a VST plugin for musicians, your site may need to have a little more "pizzazz" to make your product more attractive to the target audience.
Replicating the basic functionality for most SaaS is trivial, it's the "everything else" part that you're actually paying for.
This is a really funny comment to make when the entire Western economy is propped up by computers doing multiplication of extremely large matrices, which is probably the single most obvious CompSci 101 example of when the placement of data in memory is really, really important.
The most obvious way you can tell this is inorganic is how all of the "Discovered On" are artist-specific playlists: "Eddie Dalton music", "Best of Eddie Dalton", "Eddie Dalton Hits", etc. A real artist may have some artist-specific playlists but generally their Discovered On will be more general genre playlists, like "Pop Hits" or "Hype" or "Gym Music" or whatever.
And how do you think their assistant will interact with external systems? If I tell my AI assistant "pay my rent" or "book my flight" do you think it's going to ephemerally vibe code something on the banks' and airlines' servers to make this happen?
You're only thinking of the tip of the iceberg which is the last mile of client-facing software. 90%+ of software development is the rest of the iceberg, unseen beneath the surface.
I agree there will be more of this but again, that does not preclude the existence of more of the big backend systems existing.
I agree that there will be more small, single-use utilities, but you seem to believe that this will decrease the number or importance of traditional long-lived codebases, which doesn't make sense. The fact that Jane Q. Notadeveloper can vibe code an app for tracking household chores is great, but it does not change the fact that she needs to use her operating system (a massive codebase) to open Google Chrome (a massive codebase) and go to her bank's website (a massive codebase) to transfer money to her landlord for rent (a process which involves many massive software systems interacting with each other, hopefully none of which are vibe coded).
The average YouTuber not caring about the aperture of their lens is an apt comparison: the median YouTube video has 35 views[0]. These people likely do not care about their camera or audio setup, it's true. The question is, how is that relevant to the actual professional YouTubers, MrBeast et al, who actually do care about their AV setup?
[0] https://www.intotheminds.com/blog/en/research-youtube-stats/
Strongly disagree with this thesis, and in fact I'd go completely the opposite: code quality is more important than ever thanks to AI.
LLM-assisted coding is most successful in codebases with attributes strongly associated with high code quality: predictable patterns, well-named variables, use of a type system, no global mutable state, very low mutability in general, etc.
I'm using AI on a pretty shitty legacy area of a Python codebase right now (like, literally right now, Claude is running while I type this) and it's struggling for the same reason a human would struggle. What are the columns in this DataFrame? Who knows, because the dataframe is getting mutated depending on the function calls! Oh yeah and someone thought they could be "clever" and assemble function names via strings and dynamically call them to save a few lines of code, awesome! An LLM is going to struggle deciphering this disasterpiece, same as anyone.
Meanwhile for newer areas of the code with strict typing and a sensible architecture, Claude will usually just one-shot whatever I ask.
edit: I see most replies are saying basically the same thing here, which is an indicator.
It's not inherently bad in the same way that a first draft of a novel is not inherently bad.
But if someone asked me to read their novel and it was a first draft that they themselves had clearly not bothered reading or editing, I'd tell them to fuck off.
The multi-decade existence of roles like "business analysts" and "product owners" (and sometimes "customer success") is pretty strong evidence that this is not the case.
IMO this vastly overestimates how good the "untrained masses" are at thinking in a logical, mathematical way. Apparently something as basic as Calculus II has a fail rate of ~50% in most universities.
In fairness, this is not at all exclusive to online dating.
Someone might want to tell the author to ask Claude what a database is typically used for...
I don't know where they got September from; Sora launched in Feb 2024[0] which was a bit before people had become tired of awful AI-generated content. There was real belief that people would be willing to spend all day scrolling a social network with infinite AI-generated content. See the similar hype with Suno AI, which started a whole "musicians are obsolete" movement before becoming mostly irrelevant.
I think Sora 2 produced quite good videos, at least of a certain type. It was very good at producing convincing low-resolution cellphone footage. Unfortunately you had to have a very creative mind to get anything interesting out of it, as the copyright and content restrictions were a big "no fun allowed" clause, which contributed to its demise. Everything on the main Sora page was the same "cute animals doing something wholesome and unexpected" video.
My "favorite" part was how the post-generation checks would self-report. e.g. It was impossible to make a video of an angry chef with a British accent because Sora would always overfit it to Gordon Ramsey, and flag its own generated video after it was created!
[0] https://news.ycombinator.com/item?id=39386156 - only one mention of "AI slop" in the entire thread, though partial credit goes to "movieslop".
[0] https://www.reuters.com/markets/australian-stock-exchanges-b...
[1] https://mediacenter.ibm.com/media/Farmer+Connect+%2B+IBM/1_8...
This AI wave is filled with "ideas guys/gals" who thought they had an amazing awesome idea and if only they knew how to program they could make a best-selling billion dollar idea, being confronted with the reality that their ideas are really uninteresting as well.
They're still happy to write blog posts about how their bleeding-edge Claw setup sends them a push notification whenever someone comments on one of their LinkedIn posts, though.
edit: Wait, you don't "have buddies at NVidia" -- you literally work at NVidia. Weird that you tried to hide this information? No wonder you're so desperate to pretend this project is more than it actually is though, it must be embarrassing for you that your company didn't scrub git history properly before making this public!
Answer this question or we're done here, thanks.
> Almost certainly this was built in house for at least a month or two prior. Then private repo. Approvals. Then public.
Source, other than you making it up?
> That's more plausible than the very normal practice of developing internally, scrubbing commits of any accidental whoopsies, vetting it and then putting it out publicly
Could you point to a specific commit you believe is a representation of an internal data transfer from a separate source control system which is not representative of work achievable within the time period represented by the differential between the commit time and the time of the prior commit?
So... yeah, draw your own conclusion I guess, whatever.
Did you even read the commit history? That is not what is happening here.
This is turning into a "don't believe your lying eyes" situation. Why are you people so desperate to pretend this wasn't written in a weekend?
> There is zero reason for them to let you see their internal progress.
Again, I ask you -- what is the reason for them to edit commit history to show incremental progress as if it were written in a weekend, when it actually was not?
I'm fully aware you can rewrite git history to whatever you want, but this is an occam's razor situation here. You'd only think this wasn't a weekend project if you desperately wanted to believe that this was some major initiative for some reason.
[0] https://github.com/NVIDIA/NemoClaw/commit/b9382d27d13b160dcf...
You're probably right, but it'd be nice if the new norm were you put together stuff quickly using AI-assisted coding, you use it yourself and iterate on the product for a while as you discover things you dislike/features you want/etc, and then you share it with the world.
It seems like everyone wants to skip the second step. Most of the "Show HN" sloppa that gets built in a few days and shared here ends up abandoned immediately after.
Who is "we"? Do you work for NVidia?
> There has been reporting on nemoclaw for the last couple weeks.
The earliest reporting I've seen was yesterday. Can you link something from prior to March 14?
edit: I did find some articles from before March 14[0] which says NVidia was "prepping" this. Which is extremely funny, because it means they were hyping up software which hadn't even started being written yet. The AI bubble truly does not stop delivering.
> Are you supposing that journalists were writing about software that hadn't even been designed?
If you think journalists writing about things that will never exist is new, welcome to the real world. There's a whole term for it.[1]
[0] https://fudzilla.com/nvidia-opens-the-gates-with-nemoclaw/